Z.ai · Open weights
GLM 5
GLM-5 is a capable open-weight model from Zhipu with advanced reasoning and instruction following.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.60
- Output
- $1.90
- Cache read
- $0.10
Reference prices as published by the model provider. API example
Specifications
- Context window
- 200K
- Max output
- 128K
- Average output (7 days)
- 279 tokens
- Longer than 28% of 468 models
Side by side
GLM 5 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GLM 5Z.aiThis model | GLM 5.2Z.aiRemove | |
|---|---|---|
| Provider | Z.ai | Z.ai |
| Discovery tier | Open weights | Open weights |
| Added | Feb 11, 2026 | Jun 15, 2026 |
| Limits | ||
| Context window | 200K | 1.05MBest |
| Max output | 128K | 131.07KBest |
| Average output | 279 tokens | 839 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.60 | $0.42Best |
| Output | $1.90 | $1.32Best |
| Cache read | $0.10 | $0.078Best |
| Performance | ||
| Throughput | 78.3 tok/s | 96.8 tok/sBest |
| Time to first token | 3.4 s | 1.6 sBest |
| Request success (24h) | 99.9%Best | 99.6% |
| Benchmark indexes | ||
| Intelligence Index | 27.9Best | 22.4 |
| Coding Index | — | 46.5 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Structured output | Yes | Yes |
| Reasoning effort | — | none, high, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GLM 5
- GLM 5.2
Intelligence Index
- GLM 527.9
- GLM 5.222.4
GLM 5: Better than 69% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GLM 5: —
- GLM 5.2: 46.5
Agentic work
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GLM 5: —
- GLM 5.2: 1,244 Elo
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GLM 5: 75.7%Top
- GLM 5.2: 42.3%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GLM 5: 29.3%Top
- GLM 5.2: 9.8%
GPQA Diamond
Graduate-level science questions
- GLM 5: 82.0%Top
- GLM 5.2: 68.6%
IFBench
Following precise output instructions
- GLM 5: 72.3%
- GLM 5.2: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GLM 5: 43.2%
- GLM 5.2: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- GLM 5: 98.2%
- GLM 5.2: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GLM 5: 75.7%Top
- GLM 5.2: 42.3%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- GLM 5
- GLM 5.2
| Leaderboard | GLM 5 | GLM 5.2 |
|---|---|---|
| EQ-Bench 4 | Not in top 20 | #17 · 1211 |
| EQ-Bench 3 | Not in top 20 | #6 · 1563 |
Ranks among Noumen catalog models on EQ-Bench leaderboards. Only top-20 placements are listed.EQ-Bench
- GLM 5
- GLM 5.2
| Leaderboard | GLM 5 | GLM 5.2 |
|---|---|---|
| UI Component | Not in top 20 | #20 · 1291 |
| Data Visualization | Not in top 20 | #19 · 1285 |
| Agentic Game Dev | Not in top 20 | #8 · 1170 |
| Web Apps | Not in top 20 | #15 · 1223 |
| Full Stack | Not in top 20 | #11 · 1241 |
| Native Apps | Not in top 20 | #14 · 1181 |
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 78.3 tok/s
- Faster than 52% of 253 models
- Time to first token
- 3.4 s
- Quicker than 51% of 253 models
- Prompt cache hits
- 65.5%
- About $0.27 per 1M input tokens with caching
- Request success (24h)
- 99.9%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "z-ai/glm-5",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="z-ai/glm-5",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Z.ai
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